Authorship Attribution is a research area in quantitative text analysis concerned with attributing texts of unknown or disputed authorship to their actual author based on quantitatively measured linguistic evidence (see Juola 2006; Stamatatos 2009; Koppel et al. 2009). Authorship attribution has applications in literary studies, history, forensics and many other fields, e.g. corpus stylistics (...

Discuss authorship and develop a written authorship document (including lead authorship) at an early stage during a project. Check and follow ICMJE criteria on contributorship and authorship. Authors should have (1) contributed substantially to the conception and design, acquisition of data, or analysis and interpretation of data; (2) contributed to writing the paper or revising it critically f...

Subjectivity analysis and authorship attribution are very popular areas of research. However, work in these two areas has been done separately. Our conjecture is that by combining information about subjectivity in texts and authorship, the performance of both tasks can be improved. In the paper a personalized approach to opinion mining is presented, in which the notions of personal sense and id...

We introduce and define the notion of identity-based zeroknowledge, concentrating on the non-interactive setting. In this setting, our notion allows any prover to widely disseminate a proof of a statement while protecting the prover from plagiarism in the following sense: although proofs are transferable (i.e., publicly verifiable), they are also bound to the identity of the prover in a way whi...

The purpose of this article is to explore the process of determining authorship credit and authorship order on collaborative publications with students. The article presents hypothetical cases that describe relevant ethical issues, highlights ethical principles that could provide assistance in addressing these dilemmas, and makes recommendations to faculty who collaborate with students on schol...

We describe Authorship Attribution of Bengali literary text. Our contributions include a new corpus of 3,000 passages written by three Bengali authors, an end-toend system for authorship classification based on character n-grams, feature selection for authorship attribution, feature ranking and analysis, and learning curve to assess the relationship between amount of training data and test accu...